Architetti e ingegneri nella Toscana dell'Ottocento / Carlo Cresti, Luigi Zangheri

• Record Nr.: UNICAMPANIAVAN0047507
• Autore: Cresti, Carlo
• Pubbl/distr/stampa: Firenze, : Uniedit, 1978
• Descrizione fisica: LXXVIII, 409 p. : tav. ; 24 cm.
• Altri autori (Persone): Zangheri, Luigi
• Disciplina: 016.7
• Soggetti: Architetti toscani - Sec. 19. - Bibliografie; Ingegneri toscani - Sec. 19. - Bibliografie
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Principles of data management : facilitating information sharing / / Keith Gordon

• Record Nr.: UNINA9910139876303321
• Autore: Gordon Keith
• Pubbl/distr/stampa: Swindon, : British Computer Society, c2007
• ISBN: 1-78017-060-2; 1-78017-024-6; 1-906124-47-7
• Edizione: [1st edition]
• Descrizione fisica: 1 online resource (262 p.)
• Disciplina: 658.4038011
• Soggetti: Database management; Business - Data processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 219-222) and index.
• Nota di contenuto: Copyright; Contents; Figures and tables; About the author; Foreword; Glossary; Preface; Introduction; 1 Data and the Enterprise; 2 Database Development; 3 What is Data Management?; 4 Corporate Data Modelling; 5 Data Definition and Naming Conventions; 6 Metadata; 7 Data Quality; 8 Data Accessibility; 9 Database Administration; 10 Repository Administration; 11 The Management of Data Management; 12 Industry Trends and their Effects on Data Management; Appendix A Comparison of Data Modelling Notations; Appendix B Hierarchical and Network Databases; Appendix C Generic Data Models; Appendix D An Example of a Data Naming ConventionAppendix E Metadata Models; Appendix F A Data Mining Example; Appendix G HTML and XML; Appendix H XML and Relational Databases; References; Further reading; Index; Back Cover
• Sommario/riassunto: Organisations increasingly view data as a valuable corporate asset and its effective management can be vital to success. This professional guide covers all the key areas including database development, data quality and corporate data modelling. It provides the knowledge and techniques required to successfully implement the data management function.